108 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Fraunhofer Gesellschaft" positions at Aalborg University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
-supervisor is Assistant Professor Jeanette Falk (jfo@cs.aau.dk), Department of Computer Science. For information on Jeanettes profile, please see: https://vbn.aau.dk/en/persons/jeanette-falk/ https
-
at the Copenhagen campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend no. 3: Data-driven methods for design and operation of human-centric energy-optimized indoor
-
campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend: Synthetic Relighting of Real-World Environments via Generative AI and Computer Graphics Pipelines
-
to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk ). CLASSIQUE will address a suite of fresh research challenges defined by
-
Interaction venues. For further information about the project, see: https://www.nordforsk.org/projects/nordic-perspectives-collaborative-ai-blue-collar-work-cai-blue. Your competencies You must hold a master’s
-
enrolled as a PhD student at the University of Chinese Academy of Sciences, thus obtaining a double degree (https://sdc.university/research/phd/ ). Who we are At the Department of Chemistry and Bioscience
-
would you like to work hands on with data in an internationally oriented research project on policing? The Department of Society and Politics at Aalborg University, Faculty of Social Sciences, invites
-
. More information about DESS can be found at: https://www.cs.aau.dk/research/Data-Engineering-Science-and-Systems How to apply Your application must include the following: o Application, stating reasons
-
questions about the position, you are more than welcome to contact Director Tine Jess, jess@dcm.aau.dk Further information www.predictibd.dk Bluesky: @predictibd.bsky.social? LinkedIn: https
-
At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD in Learning Strategies for Data Driven Process Control is open for appointment from 1.02.2026